{"id":"https://openalex.org/W2003246646","doi":"https://doi.org/10.1117/12.413908","title":"Image coding using variable-rate classified side-match vector quantization","display_name":"Image coding using variable-rate classified side-match vector quantization","publication_year":2001,"publication_date":"2001-01-19","ids":{"openalex":"https://openalex.org/W2003246646","doi":"https://doi.org/10.1117/12.413908","mag":"2003246646"},"language":"en","primary_location":{"id":"doi:10.1117/12.413908","doi":"https://doi.org/10.1117/12.413908","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.413908","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083531923","display_name":"Zhe\u2010Ming Lu","orcid":"https://orcid.org/0000-0003-1785-7847","observed_orcids":["https://orcid.org/0000-0003-1785-7847"]},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe-Ming Lu","raw_affiliation_strings":["Harbin Institute of Technology (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (China)","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100839525","display_name":"Sheng-He Sun","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng-He Sun","raw_affiliation_strings":["Harbin Institute of Technology (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (China)","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4170","issue":null,"first_page":"340","last_page":"347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/side-match-vector-quantization","display_name":"side-match vector quantization","score":0.8809999823570251},{"id":"https://openalex.org/keywords/image-compression","display_name":"image compression","score":0.9229999780654907},{"id":"https://openalex.org/keywords/pixel-correlation","display_name":"pixel correlation","score":0.5830000042915344},{"id":"https://openalex.org/keywords/bit-rate-reduction","display_name":"bit rate reduction","score":0.6349999904632568},{"id":"https://openalex.org/keywords/image-quality","display_name":"image quality","score":0.6100000143051147}],"concepts":[{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.6858097314834595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4937454164028168},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.48460158705711365},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.46630847454071045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4141223430633545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41331666707992554},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38577795028686523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34886327385902405},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.329685240983963},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21859022974967957}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.413908","doi":"https://doi.org/10.1117/12.413908","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.413908","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1894598728","https://openalex.org/W2132573768","https://openalex.org/W2133979569","https://openalex.org/W2151996674","https://openalex.org/W2314293005","https://openalex.org/W2138010745","https://openalex.org/W2358024829","https://openalex.org/W2150119017","https://openalex.org/W2783841426","https://openalex.org/W2062131298"],"abstract_inverted_index":{"Vector":[0],"quantization":[1],"(VQ)":[2],"is":[3,131],"an":[4],"attractive":[5],"image":[6,177],"compression":[7],"technique.":[8],"VQ":[9,33,167],"utilizes":[10],"the":[11,22,26,43,50,61,77,88,94,97,108,111,136,139,152],"high":[12,23],"correlations":[13,24],"between":[14,25],"neighboring":[15,67,147],"pixels":[16],"in":[17,76],"a":[18,81,124],"block,":[19],"but":[20],"disregards":[21],"adjacent":[27,41],"blocks.":[28],"Unlike":[29],"VQ,":[30],"Side":[31],"match":[32],"(SMVQ)":[34],"exploits":[35,80],"codeword":[36],"information":[37],"of":[38,60,96,110,138,145],"two":[39],"encoded":[40,148],"blocks,":[42,47],"upper":[44,98],"and":[45,65,99,168,183],"left":[46,100],"to":[48,84,92,150],"encode":[49,151],"current":[51,62,112],"input":[52,63,89,113,140,153],"vector.":[53,154],"However,":[54,102],"SMVQ":[55,72,122],"doesn\u2019t":[56],"consider":[57],"edge":[58],"characteristics":[59],"vector":[64,90,114,141],"its":[66,146],"vectors":[68],"at":[69],"all.":[70],"Variable-rate":[71],"has":[73],"been":[74],"proposed":[75],"literature":[78],"that":[79,158],"block":[82,104,126],"classifier":[83,105,127,134],"decide":[85],"which":[86],"class":[87],"belongs":[91],"using":[93],"variances":[95,144],"codewords.":[101],"this":[103],"didn\u2019t":[106],"take":[107],"variance":[109,137],"itself":[115],"into":[116],"account.":[117],"Based":[118],"on":[119],"this,":[120],"variable-rate":[121],"with":[123,143],"new":[125,129,159,172,187],"called":[128],"CSMVQ":[130,160,173,182,188],"proposed.":[132],"This":[133],"uses":[135],"together":[142],"blocks":[149],"Experimental":[155],"results":[156],"show":[157],"can":[161,174],"obtain":[162,175],"lower":[163],"bit":[164],"rate":[165],"than":[166,179,193],"old":[169,181,194],"CSMVQ.":[170,195],"Moreover,":[171],"higher":[176],"quality":[178],"SMVQ,":[180],"VQ.":[184],"In":[185],"addition,":[186],"needs":[189],"shorter":[190],"encoding":[191],"time":[192]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
